{"id":"W2912747521","doi":"10.3389/fendo.2019.00081","title":"Disentangling What We Know About Microbes and Mental Health","year":2019,"lang":"en","type":"article","venue":"Frontiers in Endocrinology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Lawson Health Research Institute","funders":"","keywords":"Mental health; Microbiome; Gut flora; Gut–brain axis; Happiness; Gut microbiome; Disease; Perspective (graphical); Anxiety; Reductionism; Psychology; Neuroscience; Environmental ethics; Ecology; Biology; Medicine; Psychiatry; Bioinformatics; Immunology; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006475965,0.0001472501,0.0002502546,0.0001000056,0.0000642856,0.00002421087,0.000127967,0.00009777882,0.00001710097],"category_scores_gemma":[0.000005402832,0.0001498945,0.00004124692,0.00005441926,0.00009878886,0.00001026473,0.0001332421,0.0001372726,0.00001389975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004889558,"about_ca_system_score_gemma":0.00007351051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002689377,"about_ca_topic_score_gemma":0.00007509011,"domain_scores_codex":[0.998754,0.000074925,0.0002125416,0.000401724,0.00003917286,0.0005176269],"domain_scores_gemma":[0.999613,0.000004195536,0.00006737788,0.0002228439,0.0000127477,0.00007983244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002450571,0.0001544867,0.6308765,0.0002569402,0.00008076526,0.00001400943,0.0009874087,0.00001704045,0.1749396,0.0002854222,0.06248965,0.1296531],"study_design_scores_gemma":[0.002660313,0.0005710043,0.0182003,0.0002136814,0.000006028424,0.0001894176,0.004181479,0.00009349121,0.01469963,0.0001593129,0.9586266,0.0003987281],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8580123,0.135197,0.0001596669,0.003979411,0.002118547,0.0003412188,0.0000192552,0.00001260241,0.0001599646],"genre_scores_gemma":[0.7139578,0.2755235,0.005877047,0.002202168,0.0001700272,0.00001591451,0.0002241845,0.00003848935,0.001990847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8961369,"threshold_uncertainty_score":0.611252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004243639916340835,"score_gpt":0.2433737026833864,"score_spread":0.2391300627670455,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}